jusflpyroot 0.1.8

Useful tools for root in python

JusflPyRoot

a library to ease the life with powerfull python numpy and powerfull ROOT classes.

in progress, very early stage

Installation

Use uv{.verbatim} from astral to handle the environment.

 uv tool install jusflpyroot
# OR classically
 pip install jusflpyroot

Use examples

Basic histo creation, save, load

Self-explanatory, create TH1F, induce NumpyTH1, save, destoy, repeat, etc...

if __name__ == "__main__":

    NumpyTH1.list_file("bobes.root") #  list the file content if exists
    #   create one ROOT  histogram
    h = ROOT.TH1F("namea", "histogram that goes to file", 100, 0, 100)

    print("i... filling-in with a binary pattern to distinguish under/ovrflow and the content")
    h.Fill(- 1 )            # underflow
    h.Fill(0, 2)            # 2x inside
    h.Fill(100 - 0.0001, 4) # 4x inside
    h.Fill(100 , 8)         # 8x overflow

    #   create THE OBJECT
    nh = NumpyTH1.from_th1(h)
    nh.save("bobes.root", save_format="root")
    nh.force_del()  # brutally remove the object from instances

    # once more, but empty, I dont care about 'h'
    h = ROOT.TH1F("nameb", "histogram that also goes to file", 100, 0, 100)
    nh = NumpyTH1.from_th1(h)
    nh.save("bobes.root", save_format="root")
    nh.force_del()

    # last time, but dont delete this time
    h = ROOT.TH1F("namec", "histogram just here", 100, 0, 100)
    nh = NumpyTH1.from_th1(h)
    nh2 = NumpyTH1.load("bobes.root", "namea", load_format="root")

    print(" ... _______ I expect to see 'namec' (still in memory)   and 'namea' from disk")
    NumpyTH1.list()
    print(" ... _______ on disk:")
    NumpyTH1.list_file("bobes.root")

    # get three vectors for the model Fit
    x, y, dy = nh.get_xy()

The output should look like this:

i... filling-in with a binary pattern to distinguish under/ovrflow and the content
i...  saving   histo 'namea'  into   'bobes.root'
D...  deleting histo 'namea'  #instances   1 =>   0
i...  saving   histo 'nameb'  into   'bobes.root'
D...  deleting histo 'nameb'  #instances   1 =>   0
i...  loading        'namea'    from bobes.root
i... there is 2 histograms total in the file
 ... _______ I expect to see 'namec' (still in memory)   and 'namea' from disk
 0. namec      'histogram just here                '  2025-07-09 14:21:17.876   100   <0.0 - 100.0)   [ 0.0 / 0.0 / 0.0 ]
 1. namea      'histogram that goes to file        '  2025-07-09 14:21:17.876   100   <0.0 - 100.0)   [ 1.0 / 6.0 / 8.0 ]
 ... _______ on disk:
f...   ...   namea     (TH1 in bobes.root)
f...   ...   nameb     (TH1 in bobes.root)

Minuit fit

h = ROOT.TH1F("namec", "histogram just here", 10, 0, 10)
for i in range(10): # for range(11) .... 10 will already go to overflows
    h.Fill(i, i)
for i in range(10): # make some mess
    h.Fill(2)
    h.Fill(3)
    h.Fill(4)
    h.Fill(5)

NumpyTH1.by_name("namec").Draw("numpy") # Draw using matplotlib

print("... ========================= fitting ==========================")
x, y, dy = nh.get_xy()  # Get data for fit (from histogram)
print(x)
print(y)
print(dy)

A = PrepareLSQFit(x, y, dy ) # provide data to FITTER
A.set_model("p2")            # select mode name and function
A.FIT( a= -0.1, b=1, c=1)    # initial values + constant names; paramater names must match
A.conclude()  # prints and plots using matplotlib
# NumpyTH1.wait_loop() # not needed with matplotlib plt

Delete all

Can be useful in emacs codeblocks

print("i... LIST")
NumpyTH1.list()
print("X...  DELETEING")
NumpyTH1.reset_all()
print("X...  DELETED")
print("i... LIST EMPTY START")
NumpyTH1.list()
print("i... LIST EMPTY END")